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Indoor localization system in a multi-block workspace

Published online by Cambridge University Press:  22 May 2009

JaeHyun Park ,
MunGyu Choi ,
YunFei Zu  and
JangMyung Lee
JaeHyun Park
Affiliation:
School of Electrical Engineering, Pusan National University, Pusan 609-735, Korea
MunGyu Choi
Affiliation:
School of Electrical Engineering, Pusan National University, Pusan 609-735, Korea
YunFei Zu
Affiliation:
School of Electrical Engineering, Pusan National University, Pusan 609-735, Korea
JangMyung Lee*
Affiliation:
School of Electrical Engineering, Pusan National University, Pusan 609-735, Korea
*
*Corresponding author. E-mail: [email protected]
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Summary

This paper proposes methodologies and techniques for multi-block navigation of an indoor localization system with active beacon sensors. As service robots and ubiquitous technology have evolved, there is an increasing need for autonomous indoor navigation of mobile robots. In a large number of indoor localization schemes, the absolute position estimation method, relying on navigation beacons or landmarks, has been widely used due to its low cost and high accuracy. However, few of these schemes have managed to expand the applications for use in complicated workspaces involving many rooms or blocks that cover a wide region, such as airports and stations. Since the precise and safe navigation of mobile robots in complicated workspaces is vital for the ubiquitous technology, it is necessary to develop a multi-block navigation scheme. This new design of an indoor localization system includes ultrasonic attenuation compensation, dilution of both the precision analysis and fault detection, and an isolation algorithm using redundant measurements. These ideas are implemented on actual mobile robot platforms and beacon sensors, and experimental results are presented to test and demonstrate the new methods.

Keywords

Indoor localizationMulti-block navigationActive beaconMobile robot
Type
Article
Information
Robotica , Volume 28 , Issue 3 , May 2010 , pp. 397 - 403
Copyright
Copyright © Cambridge University Press 2009

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